Classification of device behaviour in internet of things infrastructures: towards distinguishing the abnormal from security threats
Classification of device behaviour in internet of things infrastructures: towards distinguishing the abnormal from security threats
复制标题
物联网基础设施中设备行为的分类：区分异常与安全威胁
DOI：
10.1145/3109761.3109791
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Paul Stacey
中科院分区：
文献类型：
--
作者：
R. Ferrando;Paul Stacey
越来越多的物联网 (IoT) 设备正在融入我们的物理世界。随着物联网设备和支持基础设施的迅速普及和普及，我们正在迅速接近基于物联网的网络安全攻击问题对利用物联网技术的工业运营、商业活动和社会互动构成严重威胁的地步。针对使用物联网设备和服务的互联系统的威胁和成功攻击的数量正在增加。物联网的几个特点对传统网络安全技术提出了技术挑战。物联网需要新颖且动态的安全范例。本文描述了保护物联网安全的挑战。详细讨论了物联网安全的最新技术。提出了一种新的安全检测方法，使用流数据分析在早期阶段对安全威胁进行分类和检测。介绍了实现这种用于威胁检测的新物联网网络安全技术的实施方法和正在进行的工作结果。
Increasingly Internet of Things (IoT) devices are being woven into the fabric of our physical world. With this rapidly expanding pervasive deployment of IoT devices, and supporting infrastructure, we are fast approaching the point where the problem of IoT based cyber-security attacks is a serious threat to industrial operations, business activity and social interactions that leverage IoT technologies. The number of threats and successful attacks against connected systems using IoT devices and services are increasing. The Internet of Things has several characteristics that present technological challenges to traditional cyber-security techniques. The Internet of Things requires a novel and dynamic security paradigm. This paper describes the challenges of securing the Internet of Things. A discussion detailing the state-of-the-art of IoT security is presented. A novel approach to security detection using streaming data analytics to classify and detect security threats in their early stages is proposed. Implementation methodologies and results of ongoing work to realise this new IoT cyber-security technique for threat detection are presented.